\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi} {\centering\begin{tabular}{l*{6}{c}} \hline\hline
                    &\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}&\multicolumn{1}{c}{(4)}&\multicolumn{1}{c}{(5)}&\multicolumn{1}{c}{(6)}\\
                    &\multicolumn{1}{c}{WTP}&\multicolumn{1}{c}{\makecell{WTP\\Rank}}&\multicolumn{1}{c}{\makecell{Top\\Rank}}&\multicolumn{1}{c}{\makecell{Bottom\\Rank}}&\multicolumn{1}{c}{\makecell{Top\\10\%}}&\multicolumn{1}{c}{\makecell{Bottom\\10\%}}\\
\hline \\ \multicolumn{5}{l}{\textit{Panel A: Baseline controls}} \\\\[-1ex]
Leader Prediction   &       0.203\sym{***}&       0.199\sym{***}&       0.147\sym{***}&       0.242\sym{***}&       0.106\sym{***}&       0.215\sym{***}\\
                    &    (0.0447)         &    (0.0237)         &    (0.0510)         &    (0.0545)         &    (0.0359)         &    (0.0591)         \\
\hline
Mean outcome        &       85.07         &        3.48         &        0.11         &        0.19         &        0.08         &        0.08         \\
Observations        &         876         &         876         &         876         &         876         &         876         &         876         \\
R$^2$               &      0.0707         &       0.105         &      0.0218         &      0.0441         &      0.0280         &      0.0297         \\
within-R$^2$        &      0.0547         &      0.0912         &      0.0191         &      0.0350         &      0.0162         &      0.0163         \\
\hline \\ \multicolumn{5}{l}{\textit{Panel B: + controls for neighbourhood FE}} \\\\[-1ex]
Leader Prediction   &       0.211\sym{***}&       0.200\sym{***}&       0.146\sym{***}&       0.243\sym{***}&       0.114\sym{***}&       0.118\sym{***}\\
                    &    (0.0444)         &    (0.0237)         &    (0.0515)         &    (0.0548)         &    (0.0355)         &    (0.0446)         \\
\hline
Observations        &         876         &         876         &         876         &         876         &         876         &         876         \\
R$^2$               &       0.125         &       0.179         &      0.0319         &       0.117         &      0.0793         &       0.141         \\
within-R$^2$        &      0.0581         &      0.0963         &      0.0188         &      0.0382         &      0.0192         &      0.0044         \\
\hline \\ \multicolumn{5}{l}{\textit{Panel C: + leader characteristic controls}} \\\\[-1ex]
Leader Prediction   &       0.251\sym{***}&       0.200\sym{***}&       0.146\sym{***}&       0.243\sym{***}&       0.128\sym{***}&       0.140\sym{***}\\
                    &    (0.0564)         &    (0.0239)         &    (0.0520)         &    (0.0554)         &    (0.0385)         &    (0.0504)         \\
\hline
Observations        &         876         &         876         &         876         &         876         &         876         &         876         \\
R$^2$               &       0.136         &       0.179         &      0.0319         &       0.117         &      0.0817         &       0.142         \\
within-R$^2$        &      0.0694         &      0.0962         &      0.0187         &      0.0382         &      0.0216         &      0.0053         \\
\hline\hline \end{tabular}\par\medskip}{\footnotesize {\it Note: }This table presents coefficients from regressions of willingness-to-pay on leader's predicitons of willingness-to-pay. Each observation is a leader-plot owner pair. Each column is a different measure of willingness-to-pay: col. 1 in USD, col. 2 is the within neighbourhood rank, col. 3 is an indicator for the highest in the neighbourhood, col. 4 is an indicator for the lowest, col.5 is an indicator if in the top 10\% of the full distribution, and col. 5 if in the bottom 10\% of the full distribution. Leader treatment group and randomization strata fixed effects are always included as controls. Each panel represents a different set of controls: panel A has no additional controls, panel B adds shina (neighbourhood) fixed effects, and panel C further adds a set of controls (leader gender, leader household income bracket, a dummy for leader's home plot being surveyed, and fixed effects for the ID of the leader's surveyor). Standard errors in parentheses are clustered at leader level. \sym{*}\(p<0.10\),    \sym{**}\(p<0.05\), \sym{***}\(p<0.01\).}
